Predictive Condition Based Monitoring Service

DPS Predictive Condition Based Monitoring Service darbina ar DPS Group

DPS Group ir Siemens Platinum Solution partneris, kura mērķis ir pozitīvi veidot ikviena, ar kuru mēs strādājam, nākotni. Mūsu mērķis ir pilnīga pieeja rūpnieciskajai digitalizācijai un inženierijai, nodrošinot drošas, savienotas, drošas un efektīvas darbības visā dzīves ciklā. Mēs specializējamies visaptverošos risinājumos no instrumenta līdz mākoņam — integrējot viedus līdzekļus, automatizāciju, OT/IT savienojamību un uz datiem balstītu ieskatu, lai klientiem nodrošinātu skaidru viņu darbību redzamību un kontroli. Papildus tam mēs atbalstām klientus viņu digitālās transformācijas ceļā, izmantojot Industrial Edge, mākoņtehnoloģijas un mūsdienīgu inženiertehnisko praksi, lai uzlabotu veiktspēju, noturību un ilgtspējību.

Atklājiet DPS Group

Kāpēc Predict Asset failures before they occur?

Our predictive condition-based monitoring helps organisations move from reactive, time-based maintenance to a more intelligent, data-driven approach. Using Siemens Industrial Edge and Senseye, our service monitors asset condition, identifies developing faults earlier & highlights where maintenance attention is most needed. This helps customers improve reliability, reduces downtime, and make better maintenance decisions across industrial assets.

Priekšrocības

Reduces the risk of unplanned downtime by identifying developing asset issues earlier and enabling timely maintenance intervention.
Improves maintenance efficiency by helping teams prioritise work based on actual asset condition rather than fixed maintenance intervals alone.
Provides clearer visibility of asset health, supporting better operational decisions, improved reliability and stronger maintenance planning.

Piedāvātās iespējas

Predictive Asset Monitoring

Continuously monitors asset condition using AI-driven models to detect early signs of deterioration and emerging faults.

Condition-Based Maintenance Insight

Supports maintenance teams with prioritised insight so that interventions can be planned according to asset condition and operational risk.

Early Fault Identification

Highlights abnormal patterns and developing issues before they lead to significant disruption or equipment failure.

Scalable Industrial Asset Coverage

Can be applied across multiple critical industrial assets to support a more consistent and scalable monitoring strategy.

Actionable Operational Intelligence

Transforms asset data into clear, practical insight that supports reliability improvement and better maintenance decision-making.

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